General and Gaming ranking performance
General
Global
Japan
Gaming
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
【餓狼伝説 City of the Wolves】配信 新キャラ"ケンシロウ"をプレイしてみる【PR】
94.7K
Views
1.1K
Likes
5
Comments
Opportunity for growth
【Echoes of Aincrad】配信 しんだら終わりモード 4日目
0
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
【餓狼伝説 City of the Wolves】配信 新キャラ"ケンシロウ"をプレイしてみる【PR】
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 9 main categories
Key performance indicators and trends
Video Game Culture dominates with 42% of content
Food has highest avg views
Video Game Culture shows strongest growth
Most used tags across 201 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #かずのこTop 1 | 50 | 21.9K | 1.46% | +100% | 15/100 |
| #kazunokoTop 2 | 50 | 21.9K | 1.46% | +100% | 15/100 |
| #ストリートファイター6Top 3 | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #スト6 | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #sf6 | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #ヴァイパー | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #キャミィ | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #ジェイミー | 8 | 29.7K | 1.32% | +100% | 13/100 |
| #ゴエモン | 8 | 22.4K | 1.52% | +100% | 15/100 |
| #がんばれゴエモン | 8 | 22.4K | 1.52% | +100% | 15/100 |
| #えびす丸 | 8 | 22.4K | 1.52% | +100% | 15/100 |
| #サスケ | 8 | 22.4K | 1.52% | +100% | 15/100 |
| #ソードアートオンライン | 7 | 14.1K | 1.45% | +100% | 15/100 |
| #キリト | 7 | 14.1K | 1.45% | +100% | 15/100 |
| #アスナ | 7 | 14.1K | 1.45% | +100% | 15/100 |
Strategic recommendations and performance highlights
Top 5 by view count





Top 5 by like count





Top 5 by comment count





Top 5 by engagement rate





Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations